In this section, we will write an implementation of a DCGAN in the Keras framework. Keras is a meta-framework that uses TensorFlow or Teano as a backend. It provides high-level APIs for working with neural networks. It also has pre-built neural network layers, optimizers, regularizers, initializers, and data-preprocessing layers for easy prototyping compared to low-level frameworks, such as TensorFlow. Let's start by writing the implementation of the generator network.